Abstract
This chapter is devoted to the problem of choosing sensor control parameters to maximize the performance of the information fusion process for a given task. As described in Chapter 3, we consider the problem of choosing sensor control parameters in terms of the theory of experimental design [Fedorov, 1972; Mendenhall, 1968]. Experimental design is concerned with the problem of maximizing the information gained from an experiment under cost constraints by choosing the most cost-effective experimental parameters. By analogy, our experimental apparatus is the sensing system and associated processing software, our costs are time, sensor use, and information processing resources, and we seek a sensing plan with maximal net payoff to the system.
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© 1990 Kluwer Academic Publishers
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Hager, G.D. (1990). Choosing Viewpoints and Features. In: Task-Directed Sensor Fusion and Planning. The Kluwer International Series in Engineering and Computer Science, vol 99. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1545-2_6
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DOI: https://doi.org/10.1007/978-1-4613-1545-2_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8828-2
Online ISBN: 978-1-4613-1545-2
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